Development of an Internal Analytics Dashboard for Enhanced Data Insights

The client faces difficulties in aggregating and analyzing extensive data across multiple operational channels, leading to delayed insights and suboptimal strategic planning. They require an integrated system to streamline data collection, processing, and visualization, enabling timely and informed decisions.

A mid-sized consulting firm providing various professional services and seeking to optimize data visualization and reporting capabilities to improve decision-making processes.

• Develop a centralized internal analytics dashboard that consolidates data from diverse sources.
• Enable real-time data visualization and reporting capabilities to facilitate prompt decision-making.
• Improve data accuracy and consistency across report outputs.
• Achieve a system performance that supports high-volume data processing with minimal latency.
• Enhance user access with role-based permissions for secure data handling.

• Data aggregation module capable of consolidating data from multiple internal sources.
• Interactive dashboards with customizable widgets and visualizations.
• Advanced filtering and segmentation options for detailed analysis.
• Automated report generation and scheduling functionalities.
• User management with role-based access controls and permissions.
• Real-time data updates and alerts for critical metrics.

• ERP and CRM systems for data importing
• Data warehouses or data lakes for large-scale data storage
• Authentication and authorization services (e.g., LDAP, OAuth)

• The system should support data processing of up to 10 million records with sub-second response times.
• Ensure data security and compliance with relevant data protection regulations.
• Achieve 99.9% system uptime with robust disaster recovery plans.
• Design intuitive user interfaces accessible on various devices and browsers.

The new analytics dashboard is expected to significantly reduce report generation times by 70%, enhance decision accuracy through real-time insights, and support scalable data processing to accommodate growing business data volumes, leading to improved operational efficiency and strategic agility.